Greg Mori

Embodied Human Activity Recognition WACV 2024 Rethinking Learning Approaches for Long-Term Action Anticipation ECCV 2022 TD-GEN: Graph Generation Using Tree Decomposition AISTATS 2022 Monotonicity regularization: Improved penalties and novel applications to disentangled representation learning and robust classification UAI 2022 RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression ICML 2022 Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space ICLR 2022 Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation CVPR 2021 Continuous Latent Process Flows NIPS 2021 Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data AISTATS 2021 Learning Discriminative Prototypes With Dynamic Time Warping CVPR 2021 House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation ECCV 2020 Adapting Grad-CAM for Embedding Networks WACV 2020 Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation ECCV 2020 CoPhy: Counterfactual Learning of Physical Dynamics ICLR 2020 Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows NIPS 2020 Generating Videos of Zero-Shot Compositions of Actions and Objects ECCV 2020 Variational Autoencoders with Jointly Optimized Latent Dependency Structure ICLR 2019 Learning a Deep ConvNet for Multi-Label Classification With Partial Labels CVPR 2019 A Variational Auto-Encoder Model for Stochastic Point Processes CVPR 2019 Similarity-Preserving Knowledge Distillation ICCV 2019 Lifelong GAN: Continual Learning for Conditional Image Generation ICCV 2019 LayoutVAE: Stochastic Scene Layout Generation From a Label Set ICCV 2019 Sparsely Aggregated Convolutional Networks ECCV 2018 Probabilistic Video Generation using Holistic Attribute Control ECCV 2018 Hierarchical Relational Networks for Group Activity Recognition and Retrieval ECCV 2018 Constraint-Aware Deep Neural Network Compression ECCV 2018 CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization CVPR 2018 Probabilistic Neural Programmed Networks for Scene Generation NIPS 2018 Object Level Visual Reasoning in Videos ECCV 2018 Learning to Learn From Noisy Web Videos CVPR 2017 Factorized Variational Autoencoders for Modeling Audience Reactions to Movies CVPR 2017 A Hierarchical Deep Temporal Model for Group Activity Recognition CVPR 2016 Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition CVPR 2016 Learning Structured Inference Neural Networks With Label Relations CVPR 2016 End-To-End Learning of Action Detection From Frame Glimpses in Videos CVPR 2016 Learning Temporal Embeddings for Complex Video Analysis ICCV 2015 Visual Recognition by Counting Instances: A Multi-Instance Cardinality Potential Kernel CVPR 2015 Learning Ensembles of Potential Functions for Structured Prediction With Latent Variables ICCV 2015 Handling Uncertain Tags in Visual Recognition ICCV 2013 A Max-Margin Riffled Independence Model for Image Tag Ranking CVPR 2013 Learning Class-to-Image Distance with Object Matchings CVPR 2013 Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach ICCV 2013 Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization NIPS 2013 From Subcategories to Visual Composites: A Multi-level Framework for Object Detection ICCV 2013 Latent Maximum Margin Clustering NIPS 2013 Kernel Latent SVM for Visual Recognition NIPS 2012 Beyond Actions: Discriminative Models for Contextual Group Activities NIPS 2010 A Discriminative Latent Model of Image Region and Object Tag Correspondence NIPS 2010 A Rate Distortion Approach for Semi-Supervised Conditional Random Fields NIPS 2009 Learning a discriminative hidden part model for human action recognition NIPS 2008